Senior Devops Engineer

DevOps Engineer

Experience

Salary:

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients.)

Must have skills required :

UptimeAI (One of Uplers' Clients) is Looking for:

DevOps Engineer

Role Overview

Key Responsibilities

• Design, implement, and manage cloud infrastructure across AWS and Azure for both internal platforms and customer-specific deployments
• Configure and maintain VPCs, VPNs, and peering to enable secure, scalable, and isolated environments
• Build and automate CI/CD pipelines for application and ML workloads
• Manage multi-tenant vs single-tenant deployments based on customer requirements
• Implement monitoring, alerting, logging, and disaster recovery strategies
• Work closely with engineering to ensure seamless DevProd flows and secure release management
• Set up and manage infrastructure as code (e.g., Terraform, Pulumi, Bicep, CloudFormation)
• Optimize costs, performance, and availability for both internal and customer-facing cloud workloads
• Enforce security best practices, access control, and compliance across infrastructure

Requirements

• 6+ years of experience as a DevOps/SRE/Cloud Engineer in high-growth SaaS or product startups
• AWS Certified (at least Solutions Architect - Associate) and Azure Certified (e.g., AZ-104 or higher)
• Strong experience with AWS and Azure networking, including: VPC, VPNs, Subnets, Route Tables, Security Groups, NAT Gateways
• Site-to-site VPN setups for enterprise customers
• Proven experience deploying applications to customer-controlled cloud environments (BYOC) and company-controlled SaaS environments
• Expertise with tools like: CI/CD: GitHub Actions, GitLab CI, Azure Pipelines; IaC: Terraform, Bicep, or Pulumi; Containers: Docker, Kubernetes (EKS/AKS preferred)
• Familiarity with Secrets Management, IAM, Role-based Access Control, and SSO/SAML integration
• Strong scripting skills in Bash, Python, or PowerShell
• Comfortable working in a fast-paced, ambiguous startup environment

Good to Have

• Experience with AI/ML pipeline deployment or GPU workloads
• Exposure to SOC2, ISO27001, or GDPR compliance in a cloud environment
• Familiarity with tools like Prometheus, Grafana, Datadog, ELK, or Azure Monitor

Why Join Us

• Be part of a foundational team shaping infrastructure strategy from the ground up
• Solve real-world scaling and deployment problems for enterprise AI workloads
• Competitive salary + equity
• Fast-track learning with ownership, autonomy, and purpose

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!